• DocumentCode
    3241979
  • Title

    An Improved Curvature Coding For Planar Shape Representation

  • Author

    Guo, Ke-Hua ; Yang, Jing-Yu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing
  • fYear
    2008
  • fDate
    22-24 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Traditional planar shape representations cannot efficiently solve some problems such as recognition under occlusion, reconstruction and partial matching. In this paper, an improved shape representation by the extraction of contour curvature is presented based on the invariance of curvature. Then the invariance and discrete approximation solution are demonstrated. Finally the reconstruction method to the contour and a new matching approach based on improved KMP (D. E. Knuth, V. R. Pratt and J. H. Morris) algorithm are proposed. Experiments illustrate the good performance of our approach to classification, occluded objects recognition and partial matching problems.
  • Keywords
    approximation theory; feature extraction; image matching; image representation; contour curvature extaction; curvature coding; curvature invariance; discrete approximation solution; matching algorithm; planar shape representation; Application software; Computational geometry; Computer science; Computer vision; Image reconstruction; Noise shaping; Object recognition; Pattern recognition; Reconstruction algorithms; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. CCPR '08. Chinese Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2316-3
  • Type

    conf

  • DOI
    10.1109/CCPR.2008.30
  • Filename
    4662983